"A server for bio-medical data or research using MCP" matching MCP servers:

Enables AI-powered research by breaking a topic into subtopics, gathering information via agents, and compiling a report. Integrates with LangGraph and RAG for orchestration and contextual retrieval.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.

Enables AI agents to perform professional-grade deep research by aggregating real-time data from multiple sources, evaluating source credibility, and generating comprehensive reports.

Orchestrates distributed research drones on Google Cloud Run, enabling scalable and bidirectional research task management.

Aggregates and routes multiple MCP servers with intelligent tool recommendation and batch parallel execution, enabling unified access and efficient tool usage.

A small local MCP adapter that lets Claude Code delegate bounded research work to Codex plan credits without giving the worker ownership of the final report.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

Enables Codex and other agents to discover live AutoDL GPU stock, produce cost- and time-optimized rental plans with human review, and manage approved Elastic/Pro deployments through the official API.

Exposes Coze workflows as MCP tools, allowing AI clients to discover and execute workflows from a specified Coze workspace. It provides a simple way to integrate external skills into platforms like OpenClaw without needing local environment configurations.

A multi-model research agent platform supporting Claude, Gemini, and OpenAI models with web search capabilities, thinking-enabled features, and citation support for advanced research workflows.

MCP server that integrates with Pica to enable seamless interaction with 100+ third-party services through a standardized interface, supporting direct execution and code generation.

A multi-agent research system using a shared blackboard (belief store) for agents to collaborate, exposed as MCP tools for use with Claude Desktop or other MCP hosts.

A Model Context Protocol server that enables Claude to perform advanced web research with intelligent search queuing, enhanced content extraction, and deep research capabilities.

Production-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Google Data Catalog (beta): https://www.cdata.com/download/download.aspx?sku=HGZK-V&type=beta

A Model Context Protocol server implementation that allows AI models to interact with and manage Spinnaker deployments, pipelines, and applications through a standardized interface.

A deployable Model Context Protocol server on Cloudflare Workers that runs without authentication requirements, allowing integration with AI models through the Cloudflare AI Playground or Claude Desktop.

A serverless implementation of the Model Context Protocol (MCP) that runs on Netlify Functions, allowing developers to build and deploy MCP-compatible services with minimal configuration.

A deployable server that implements the Model Context Protocol (MCP) on Cloudflare Workers, enabling integration of custom tools with AI assistants like Claude without requiring authentication.